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Large Language Model Llm Jobs in Raleigh, NC (NOW HIRING)

... large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. • ... with applying LLM in a business • Experience working with large datasets and distributed ...

... large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. • ... with applying LLM in a business • Experience working with large datasets and distributed ...

... NLP, and large language models (LLMs) to solve complex legal workflows. You will drive ... Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define ...

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

... large language models. Responsibilities * Test and evaluate AI agents, prompts, and workflows ... LLM systems * Work with engineering teams to validate MCP connectors and integrations * Analyze ...

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

... large language models. Responsibilities * Test and evaluate AI agents, prompts, and workflows ... LLM systems * Work with engineering teams to validate MCP connectors and integrations * Analyze ...

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/yr

... and large language models (LLMs) to solve complex legal workflows. You will help drive ... Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)

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Large Language Model Llm information

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How much do large language model llm jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for large language model llm in Raleigh, NC is $23.66, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $28.27 per hour, depending on experience, location, and employer.

What are some common challenges faced by Large Language Model (LLM) Engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What profession makes $400,000 a year?

In the field of large language models and AI, senior roles such as AI research directors, machine learning engineers, and data science executives can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, specialized knowledge in deep learning, and experience managing large projects or teams.

What is a Large Language Model (LLM) job?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, AI ethicists, and data privacy officers are likely to continue being in demand as AI advances. These roles require complex judgment, ethical considerations, and specialized expertise that are difficult to automate. Skills in critical thinking, domain knowledge, and regulatory understanding will remain valuable in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and extensive experience, with compensation reflecting the complexity and impact of the work.

What are the key skills and qualifications needed to thrive in the Large Language Model Llm position, and why are they important?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can you do with LLM?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.
What are the most commonly searched types of Large Language Model Llm jobs in Raleigh, NC? The most popular types of Large Language Model Llm jobs in Raleigh, NC are:
What are popular job titles related to Large Language Model Llm jobs in Raleigh, NC? For Large Language Model Llm jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Raleigh, NC look for? The top searched job categories for Large Language Model Llm jobs in Raleigh, NC are:
Infographic showing various Large Language Model Llm job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% Internship, 84% Full Time, 10% Part Time, and 3% Contract. Highlights an 67% In-person, 10% Hybrid, and 23% Remote job distribution, with an average salary of $49,211 per year, or $23.7 per hour.

Manager Data Science

LexisNexis

Raleigh, NC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 426 rated business services


Job description

Job Summary:
LexisNexis Legal & Professional is a global provider of information-based analytics and decision tools. The Manager of Data Science will lead the development of advanced AI and machine learning models, mentor teams, and collaborate with cross-functional teams to align AI solutions with business goals.
Responsibilities:
• Leading the development of advanced AI and machine learning models to solve complex business problems
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
• Analyzing large datasets to identify patterns and trends that can inform AI development
• Communicating findings and insights to stakeholders in a clear and concise manner
• Staying current with the latest AI and machine learning trends and technologies
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices
• Driving best practices across our data science functions
• Setting strategy and team direction, with a clear vision for Data Science
• Working with product leaders to apply data science solutions.
• Evaluating and creating new frameworks and defining methodologies and governance
• Leading small- to medium-sized teams (direct or indirect)
• Setting a high bar for model development
Qualifications:
Required:
• Have substantial experience in a senior data scientist role
• Experienced in leading complex projects and customer relationships
• Significant experience in managing larger technical teams (direct or indirect)
• Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
• Be a natural problem solver, able to take a lead in collaborating to resolve issues
• Have excellent communication skills and the ability to convey information clearly to senior stakeholders
• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• 7-10+ years of experience in AI and machine learning
• Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
• Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
• Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
• Experience with reinforcement learning, prompt engineering, hallucination mitigation
• Working understanding of the business risks associated with applying LLM in a business
• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
• Strong coding skills in Python or another programming language
• Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
• Strong problem-solving skills and the ability to think outside the box
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.

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